From 1d5f3503fb3d5cf095b5f27fa2ff94082181c397 Mon Sep 17 00:00:00 2001 From: Yang An Date: Tue, 10 Oct 2023 17:46:21 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 18cd9c8..fc5fe1c 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ -We opensource our **Qwen** series, now including **Qwen**, the base language models, namely **Qwen-7B** and **Qwen-14B**, as well as **Qwen-Chat**, the chat models, namely **Qwen-7B-Chat** and **Qwen-14B-Chat**. Links are on the above table. Click them and check the model cards. Also, we release the **[technical report](https://qianwen-res.oss-cn-beijing.aliyuncs.com/QWEN_TECHNICAL_REPORT.pdf)**. Please click the paper link and check it out! +We opensource our **Qwen** series, now including **Qwen**, the base language models, namely **Qwen-7B** and **Qwen-14B**, as well as **Qwen-Chat**, the chat models, namely **Qwen-7B-Chat** and **Qwen-14B-Chat**. Links are on the above table. Click them and check the model cards. Also, we release the **[technical report](https://arxiv.org/abs/2309.16609)**. Please click the paper link and check it out! In brief, we have strong base language models, which have been stably pretrained for up to 3 trillion tokens of multilingual data with a wide coverage of domains, languages (with a focus on Chinese and English), etc. They are able to achieve competitive performance on benchmark datasets. Additionally, we have chat models that are aligned with human preference based on SFT and RLHF (not released yet), which are able to chat, create content, extract information, summarize, translate, code, solve math problems, and so on, and are able to use tools, play as agents, or even play as code interpreters, etc.